程序理解和代码复杂性度量:一个功能磁共振研究的复制包

Norman Peitek, S. Apel, Chris Parnin, A. Brechmann, J. Siegmund
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引用次数: 4

摘要

在这个工件中,我们记录了关于程序员的功能性磁共振成像(fMRI)研究的公开共享数据集。我们对19名参与者进行了fMRI研究,观察程序对不同复杂程度的短代码片段的理解。我们剖析了四类代码复杂性度量及其与程序理解的神经元、行为和主观相关的关系。我们的数据证实,复杂性度量可以在一定程度上解释程序员对程序理解的认知。在关于fMRI研究的论文中,我们概述了几个后续实验,研究代码复杂性的细粒度影响,并描述了代码复杂性度量的可能改进。我们将我们的实验视为将代码复杂性度量与神经和行为关联联系起来的起点。为了使未来的研究能够继续这项工作,我们的目标是提供尽可能多的支持,以使用该工件进行类似的研究。
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Program Comprehension and Code Complexity Metrics: A Replication Package of an fMRI Study
In this artifact, we document our publicly shared data set of our functional magnetic resonance imaging (fMRI) study on programmers. We have conducted an fMRI study with 19 participants observing program comprehension of short code snippets at varying complexity levels. We dissected four classes of code complexity metrics and their relationship to neuronal, behavioral, and subjective correlates of program comprehension. Our data corroborate that complexity metrics can—to a limited degree—explain programmers' cognition in program comprehension. In the paper on the fMRI study, we outline several follow-up experiments investigating fine-grained effects of code complexity and describe possible refinements to code complexity metrics. We view our conducted experiment as a starting point to link code complexity metrics to neural and behavioral correlates. To enable future research to continue this line of work, we aim to provide as much support as possible to conduct similar studies with this artifact.
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